3 papers
cs.CV2026
Scalable next-scale autoregression for medical image generation across anatomical regions
Zhicheng He, Yunpeng Zhao, Junde Wu +7
Autoregressive pretraining has been key to the scalability of large language models, yet medical generative foundation models remain predominantly based on diffusion. Here we intro…
cs.LG2025
Sculpting Features from Noise: Reward-Guided Hierarchical Diffusion for Task-Optimal Feature Transformation
Nanxu Gong, Zijun Li, Sixun Dong +4
Feature Transformation (FT) crafts new features from original ones via mathematical operations to enhance dataset expressiveness for downstream models. However, existing FT methods…
cs.CV2025
TMCIR: Token Merge Benefits Composed Image Retrieval
Chaoyang Wang, Zeyu Zhang, Long Teng +2
Composed Image Retrieval (CIR) retrieves target images using a multi-modal query that combines a reference image with text describing desired modifications. The primary challenge i…